fix: CPU OOM issue during LoRA training#41
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When conducting fine-tuning with the provided LoRA training script, CPU memory usage continuously increases over time and eventually the process is killed by the system due to out-of-memory (OOM).
The issue is caused by enabling
torch.cuda.memory._record_memory_history(enabled="all"), which records CUDA memory events and stores them on the CPU. As training progresses, the accumulated memory history leads to excessive CPU memory consumption, resulting in CPU OOM.